supermemory
Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.
The Lens
By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.
Updated Sep 2026
Supermemory is a memory and context engine for AI apps. It extracts facts from conversations and documents, keeps a profile of each user, and runs hybrid search that blends RAG with personalized recall, all behind one API. The company reports top scores on the major memory benchmarks. The main repository is MIT, and plugins exist for Claude Code, Cursor and Codex.
Running it locally is one command, npx supermemory local, which starts a single binary with the same API as the hosted platform. It works fully offline with a local model through Ollama, and your data stays on your machine. The local server is single-user and licensed for up to 10,000 documents, though, and the connectors for Google Drive, Gmail, Notion and OneDrive, plus the Supermemory MCP, only exist on the hosted platform.
Hosted pricing is published and credit-based. Free includes $5 of credits a month and pauses when they run out. Pro is $19/mo with pay-as-you-go top-ups, Max is $100/mo, and Scale at $399/mo adds S3 and web crawler connectors, unlimited seats and a self-hosted option. Teams building production memory will land on Pro or Scale.
The catch is maturity. The local server is still version 0.0.x, and one August release was an emergency patch after an upgrade silently wiped search vectors. The consumer app and browser extension were retired in September too. Build on the API, pin versions, and back up your data.
Free vs Self-Hosted vs Paid
open coreFree tier: The main monorepo is MIT, the TypeScript and Python client SDKs are Apache-2.0, and plugin licenses vary. A free local server runs ingestion, memory extraction, hybrid search and the full API on your own model key or a local model, up to 10,000 documents. The hosted Free plan includes $5 of credits a month, all plugins, the full search and memory API, 1 team seat and unlimited end users, and pauses when credits run out.
Self-hosted: Install with curl -fsSL https://supermemory.ai/install | bash or npx supermemory local. The server ships as a prebuilt binary called supermemory lite, is licensed for up to 10,000 documents with the cap enforced at the API, runs a single org with one auto-generated API key, and stores data locally. Extraction runs on whatever model you point it at, including Ollama. Connectors and the Supermemory MCP are hosted-only. Production self-hosting of the full platform is a Scale and Enterprise feature.
Paid: Pro is $19/mo ($20 of credits, pay-as-you-go top-ups, 3 seats). Max is $100/mo ($130 of credits, Gmail connector). Scale is $399/mo ($600 of credits, S3 and web crawler connectors, unlimited seats, SOC 2, HIPAA BAA, self-hosted option). Enterprise is custom with SSO, air-gapped self-hosting and an uptime SLA. Usage bills per unique SM token: memory at $0.005 (plain text) or $0.010 (rich content) per 1K, SuperRAG at $0.001 or $0.002 per 1K, and search at $0.005 per 1K queries.
Free locally up to 10,000 documents, or with $5/mo of hosted credits. Hosted plans run $19, $100 and $399 a month.
What to do by team size
- Solo
- free local server up to 10,000 documents, or the hosted Free plan
- Small team
- Pro at $19/mo for 3 seats and pay-as-you-go
- Medium team
- Max at $100/mo, or Scale once you need connectors and unlimited seats
- Large team
- Scale at $399/mo, or Enterprise for SSO and air-gapped self-hosting
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Trust Signals
License: MIT License
Use freely, including commercial. Just keep the license.
Commercial use: ✓ Yes
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